Dataset statistics
| Number of variables | 14 |
|---|---|
| Number of observations | 891 |
| Missing cells | 0 |
| Missing cells (%) | 0.0% |
| Duplicate rows | 0 |
| Duplicate rows (%) | 0.0% |
| Total size in memory | 85.4 KiB |
| Average record size in memory | 98.1 B |
Variable types
| Numeric | 9 |
|---|---|
| Categorical | 5 |
Name has a high cardinality: 891 distinct values | High cardinality |
Survived is highly correlated with Sex | High correlation |
Pclass is highly correlated with Fare | High correlation |
Sex is highly correlated with Survived and 1 other fields | High correlation |
SibSp is highly correlated with SibPar | High correlation |
Parch is highly correlated with SibPar | High correlation |
Fare is highly correlated with Pclass | High correlation |
Title_Name is highly correlated with Sex | High correlation |
SibPar is highly correlated with SibSp and 1 other fields | High correlation |
Survived is highly correlated with Sex | High correlation |
Pclass is highly correlated with Fare | High correlation |
Sex is highly correlated with Survived and 1 other fields | High correlation |
SibSp is highly correlated with SibPar | High correlation |
Parch is highly correlated with SibPar | High correlation |
Ticket is highly correlated with Ticket-label | High correlation |
Fare is highly correlated with Pclass | High correlation |
Title_Name is highly correlated with Sex | High correlation |
Ticket-label is highly correlated with Ticket | High correlation |
SibPar is highly correlated with SibSp and 1 other fields | High correlation |
Survived is highly correlated with Sex | High correlation |
Pclass is highly correlated with Fare | High correlation |
Sex is highly correlated with Survived and 1 other fields | High correlation |
SibSp is highly correlated with SibPar | High correlation |
Parch is highly correlated with SibPar | High correlation |
Fare is highly correlated with Pclass | High correlation |
Title_Name is highly correlated with Sex | High correlation |
SibPar is highly correlated with SibSp and 1 other fields | High correlation |
Survived is highly correlated with Sex | High correlation |
Sex is highly correlated with Survived | High correlation |
Survived is highly correlated with Sex and 1 other fields | High correlation |
Pclass is highly correlated with Fare | High correlation |
Sex is highly correlated with Survived and 1 other fields | High correlation |
Age is highly correlated with Title_Name | High correlation |
SibSp is highly correlated with Parch and 2 other fields | High correlation |
Parch is highly correlated with SibSp and 2 other fields | High correlation |
Ticket is highly correlated with Ticket-label | High correlation |
Fare is highly correlated with Pclass and 1 other fields | High correlation |
Title_Name is highly correlated with Survived and 4 other fields | High correlation |
Ticket-label is highly correlated with Ticket | High correlation |
SibPar is highly correlated with SibSp and 2 other fields | High correlation |
PassengerId is uniformly distributed | Uniform |
Name is uniformly distributed | Uniform |
PassengerId has unique values | Unique |
Name has unique values | Unique |
SibSp has 608 (68.2%) zeros | Zeros |
Parch has 678 (76.1%) zeros | Zeros |
Fare has 15 (1.7%) zeros | Zeros |
Ticket-label has 28 (3.1%) zeros | Zeros |
SibPar has 749 (84.1%) zeros | Zeros |
Reproduction
| Analysis started | 2021-11-28 01:54:22.634463 |
|---|---|
| Analysis finished | 2021-11-28 01:54:55.245317 |
| Duration | 32.61 seconds |
| Software version | pandas-profiling v3.1.0 |
| Download configuration | config.json |
| Distinct | 891 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 446 |
| Minimum | 1 |
|---|---|
| Maximum | 891 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 45.5 |
| Q1 | 223.5 |
| median | 446 |
| Q3 | 668.5 |
| 95-th percentile | 846.5 |
| Maximum | 891 |
| Range | 890 |
| Interquartile range (IQR) | 445 |
Descriptive statistics
| Standard deviation | 257.353842 |
|---|---|
| Coefficient of variation (CV) | 0.5770265516 |
| Kurtosis | -1.2 |
| Mean | 446 |
| Median Absolute Deviation (MAD) | 223 |
| Skewness | 0 |
| Sum | 397386 |
| Variance | 66231 |
| Monotonicity | Strictly increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 1 | 1 | 0.1% |
| 599 | 1 | 0.1% |
| 588 | 1 | 0.1% |
| 589 | 1 | 0.1% |
| 590 | 1 | 0.1% |
| 591 | 1 | 0.1% |
| 592 | 1 | 0.1% |
| 593 | 1 | 0.1% |
| 594 | 1 | 0.1% |
| 595 | 1 | 0.1% |
| Other values (881) | 881 |
| Value | Count | Frequency (%) |
| 1 | 1 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 |
| Value | Count | Frequency (%) |
| 891 | 1 | |
| 890 | 1 | |
| 889 | 1 | |
| 888 | 1 | |
| 887 | 1 | |
| 886 | 1 | |
| 885 | 1 | |
| 884 | 1 | |
| 883 | 1 | |
| 882 | 1 |
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.1 KiB |
| 0 | |
|---|---|
| 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 1 |
| 3rd row | 1 |
| 4th row | 1 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 549 | |
| 1 | 342 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 0 | 549 | |
| 1 | 342 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 3 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.1 KiB |
| 3 | |
|---|---|
| 1 | |
| 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 3 |
|---|---|
| 2nd row | 1 |
| 3rd row | 3 |
| 4th row | 1 |
| 5th row | 3 |
Common Values
| Value | Count | Frequency (%) |
| 3 | 491 | |
| 1 | 216 | |
| 2 | 184 | 20.7% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 3 | 491 | |
| 1 | 216 | |
| 2 | 184 | 20.7% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 891 |
|---|---|
| Distinct (%) | 100.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.1 KiB |
| Giles, Mr. Frederick Edward | 1 |
|---|---|
| Scanlan, Mr. James | 1 |
| Hays, Miss. Margaret Bechstein | 1 |
| Kassem, Mr. Fared | 1 |
| Hickman, Mr. Lewis | 1 |
| Other values (886) |
Length
| Max length | 82 |
|---|---|
| Median length | 25 |
| Mean length | 26.96520763 |
| Min length | 12 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 891 ? |
|---|---|
| Unique (%) | 100.0% |
Sample
| 1st row | Braund, Mr. Owen Harris |
|---|---|
| 2nd row | Cumings, Mrs. John Bradley (Florence Briggs Thayer) |
| 3rd row | Heikkinen, Miss. Laina |
| 4th row | Futrelle, Mrs. Jacques Heath (Lily May Peel) |
| 5th row | Allen, Mr. William Henry |
Common Values
| Value | Count | Frequency (%) |
| Giles, Mr. Frederick Edward | 1 | 0.1% |
| Scanlan, Mr. James | 1 | 0.1% |
| Hays, Miss. Margaret Bechstein | 1 | 0.1% |
| Kassem, Mr. Fared | 1 | 0.1% |
| Hickman, Mr. Lewis | 1 | 0.1% |
| Goodwin, Mrs. Frederick (Augusta Tyler) | 1 | 0.1% |
| de Pelsmaeker, Mr. Alfons | 1 | 0.1% |
| Pinsky, Mrs. (Rosa) | 1 | 0.1% |
| Olsen, Mr. Ole Martin | 1 | 0.1% |
| Augustsson, Mr. Albert | 1 | 0.1% |
| Other values (881) | 881 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| mr | 521 | 14.4% |
| miss | 182 | 5.0% |
| mrs | 129 | 3.6% |
| william | 64 | 1.8% |
| john | 44 | 1.2% |
| master | 40 | 1.1% |
| henry | 35 | 1.0% |
| george | 24 | 0.7% |
| james | 24 | 0.7% |
| charles | 23 | 0.6% |
| Other values (1515) | 2538 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 2 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.1 KiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 1 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 1 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 577 | |
| 0 | 314 |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 1 | 577 | |
| 0 | 314 |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 146 |
|---|---|
| Distinct (%) | 16.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 29.96197755 |
| Minimum | 0.42 |
|---|---|
| Maximum | 80 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0.42 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 21 |
| median | 29 |
| Q3 | 37 |
| 95-th percentile | 54.5 |
| Maximum | 80 |
| Range | 79.58 |
| Interquartile range (IQR) | 16 |
Descriptive statistics
| Standard deviation | 13.70007462 |
|---|---|
| Coefficient of variation (CV) | 0.4572486779 |
| Kurtosis | 0.3920995024 |
| Mean | 29.96197755 |
| Median Absolute Deviation (MAD) | 8 |
| Skewness | 0.3782158678 |
| Sum | 26696.122 |
| Variance | 187.6920447 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 24 | 30 | 3.4% |
| 30 | 28 | 3.1% |
| 22 | 27 | 3.0% |
| 33 | 27 | 3.0% |
| 28 | 26 | 2.9% |
| 18 | 26 | 2.9% |
| 19 | 25 | 2.8% |
| 25 | 24 | 2.7% |
| 21 | 24 | 2.7% |
| 36 | 22 | 2.5% |
| Other values (136) | 632 |
| Value | Count | Frequency (%) |
| 0.42 | 1 | 0.1% |
| 0.67 | 1 | 0.1% |
| 0.75 | 2 | 0.2% |
| 0.83 | 2 | 0.2% |
| 0.92 | 1 | 0.1% |
| 1 | 7 | |
| 2 | 10 | |
| 3 | 6 | |
| 4 | 10 | |
| 4.534 | 2 | 0.2% |
| Value | Count | Frequency (%) |
| 80 | 1 | 0.1% |
| 74 | 1 | 0.1% |
| 71 | 2 | |
| 70.5 | 1 | 0.1% |
| 70 | 2 | |
| 66 | 1 | 0.1% |
| 65 | 3 | |
| 64 | 2 | |
| 63 | 2 | |
| 62 | 4 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5230078563 |
| Minimum | 0 |
|---|---|
| Maximum | 8 |
| Zeros | 608 |
| Zeros (%) | 68.2% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 1 |
| 95-th percentile | 3 |
| Maximum | 8 |
| Range | 8 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.102743432 |
|---|---|
| Coefficient of variation (CV) | 2.108464374 |
| Kurtosis | 17.88041973 |
| Mean | 0.5230078563 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 3.695351727 |
| Sum | 466 |
| Variance | 1.216043077 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 209 | 23.5% |
| 2 | 28 | 3.1% |
| 4 | 18 | 2.0% |
| 3 | 16 | 1.8% |
| 8 | 7 | 0.8% |
| 5 | 5 | 0.6% |
| Value | Count | Frequency (%) |
| 0 | 608 | |
| 1 | 209 | 23.5% |
| 2 | 28 | 3.1% |
| 3 | 16 | 1.8% |
| 4 | 18 | 2.0% |
| 5 | 5 | 0.6% |
| 8 | 7 | 0.8% |
| Value | Count | Frequency (%) |
| 8 | 7 | 0.8% |
| 5 | 5 | 0.6% |
| 4 | 18 | 2.0% |
| 3 | 16 | 1.8% |
| 2 | 28 | 3.1% |
| 1 | 209 | 23.5% |
| 0 | 608 |
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.3815937149 |
| Minimum | 0 |
|---|---|
| Maximum | 6 |
| Zeros | 678 |
| Zeros (%) | 76.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 2 |
| Maximum | 6 |
| Range | 6 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.8060572211 |
|---|---|
| Coefficient of variation (CV) | 2.112344071 |
| Kurtosis | 9.778125179 |
| Mean | 0.3815937149 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 2.749117047 |
| Sum | 340 |
| Variance | 0.6497282437 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 678 | |
| 1 | 118 | 13.2% |
| 2 | 80 | 9.0% |
| 3 | 5 | 0.6% |
| 5 | 5 | 0.6% |
| 4 | 4 | 0.4% |
| 6 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 0 | 678 | |
| 1 | 118 | 13.2% |
| 2 | 80 | 9.0% |
| 3 | 5 | 0.6% |
| 4 | 4 | 0.4% |
| 5 | 5 | 0.6% |
| 6 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 6 | 1 | 0.1% |
| 5 | 5 | 0.6% |
| 4 | 4 | 0.4% |
| 3 | 5 | 0.6% |
| 2 | 80 | 9.0% |
| 1 | 118 | 13.2% |
| 0 | 678 |
| Distinct | 679 |
|---|---|
| Distinct (%) | 76.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 754682.7228 |
| Minimum | 0 |
|---|---|
| Maximum | 23101294 |
| Zeros | 4 |
| Zeros (%) | 0.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 2343 |
| Q1 | 17421 |
| median | 113510 |
| Q3 | 347465 |
| 95-th percentile | 521173.5 |
| Maximum | 23101294 |
| Range | 23101294 |
| Interquartile range (IQR) | 330044 |
Descriptive statistics
| Standard deviation | 3424853.649 |
|---|---|
| Coefficient of variation (CV) | 4.538137082 |
| Kurtosis | 38.00287833 |
| Mean | 754682.7228 |
| Median Absolute Deviation (MAD) | 111196 |
| Skewness | 6.259104267 |
| Sum | 672422306 |
| Variance | 1.172962252 × 1013 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 2343 | 7 | 0.8% |
| 1601 | 7 | 0.8% |
| 347082 | 7 | 0.8% |
| 3101295 | 6 | 0.7% |
| 2144 | 6 | 0.7% |
| 347088 | 6 | 0.7% |
| 14879 | 5 | 0.6% |
| 382652 | 5 | 0.6% |
| 6608 | 4 | 0.4% |
| 0 | 4 | 0.4% |
| Other values (669) | 834 |
| Value | Count | Frequency (%) |
| 0 | 4 | |
| 3 | 2 | 0.2% |
| 541 | 1 | 0.1% |
| 693 | 1 | 0.1% |
| 695 | 1 | 0.1% |
| 751 | 2 | 0.2% |
| 752 | 1 | 0.1% |
| 1166 | 1 | 0.1% |
| 1585 | 1 | 0.1% |
| 1601 | 7 |
| Value | Count | Frequency (%) |
| 23101294 | 1 | |
| 23101293 | 1 | |
| 23101292 | 1 | |
| 23101290 | 1 | |
| 23101289 | 1 | |
| 23101288 | 1 | |
| 23101287 | 1 | |
| 23101286 | 1 | |
| 23101285 | 1 | |
| 23101283 | 1 |
| Distinct | 248 |
|---|---|
| Distinct (%) | 27.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 32.20420797 |
| Minimum | 0 |
|---|---|
| Maximum | 512.3292 |
| Zeros | 15 |
| Zeros (%) | 1.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 7.225 |
| Q1 | 7.9104 |
| median | 14.4542 |
| Q3 | 31 |
| 95-th percentile | 112.07915 |
| Maximum | 512.3292 |
| Range | 512.3292 |
| Interquartile range (IQR) | 23.0896 |
Descriptive statistics
| Standard deviation | 49.6934286 |
|---|---|
| Coefficient of variation (CV) | 1.543072528 |
| Kurtosis | 33.39814088 |
| Mean | 32.20420797 |
| Median Absolute Deviation (MAD) | 6.9042 |
| Skewness | 4.78731652 |
| Sum | 28693.9493 |
| Variance | 2469.436846 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 8.05 | 43 | 4.8% |
| 13 | 42 | 4.7% |
| 7.8958 | 38 | 4.3% |
| 7.75 | 34 | 3.8% |
| 26 | 31 | 3.5% |
| 10.5 | 24 | 2.7% |
| 7.925 | 18 | 2.0% |
| 7.775 | 16 | 1.8% |
| 0 | 15 | 1.7% |
| 26.55 | 15 | 1.7% |
| Other values (238) | 615 |
| Value | Count | Frequency (%) |
| 0 | 15 | |
| 4.0125 | 1 | 0.1% |
| 5 | 1 | 0.1% |
| 6.2375 | 1 | 0.1% |
| 6.4375 | 1 | 0.1% |
| 6.45 | 1 | 0.1% |
| 6.4958 | 2 | 0.2% |
| 6.75 | 2 | 0.2% |
| 6.8583 | 1 | 0.1% |
| 6.95 | 1 | 0.1% |
| Value | Count | Frequency (%) |
| 512.3292 | 3 | |
| 263 | 4 | |
| 262.375 | 2 | |
| 247.5208 | 2 | |
| 227.525 | 4 | |
| 221.7792 | 1 | 0.1% |
| 211.5 | 1 | 0.1% |
| 211.3375 | 3 | |
| 164.8667 | 2 | |
| 153.4625 | 3 |
Embarked
Categorical
| Distinct | 4 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 7.1 KiB |
| 2.0 | |
|---|---|
| 0.0 | |
| 1.0 | |
| 1.2 | 2 |
Length
| Max length | 3 |
|---|---|
| Median length | 3 |
| Mean length | 3 |
| Min length | 3 |
Characters and Unicode
| Total characters | 0 |
|---|---|
| Distinct characters | 0 |
| Distinct categories | 0 ? |
| Distinct scripts | 0 ? |
| Distinct blocks | 0 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2.0 |
|---|---|
| 2nd row | 0.0 |
| 3rd row | 2.0 |
| 4th row | 2.0 |
| 5th row | 2.0 |
Common Values
| Value | Count | Frequency (%) |
| 2.0 | 644 | |
| 0.0 | 168 | 18.9% |
| 1.0 | 77 | 8.6% |
| 1.2 | 2 | 0.2% |
Length
Histogram of lengths of the category
Pie chart
| Value | Count | Frequency (%) |
| 2.0 | 644 | |
| 0.0 | 168 | 18.9% |
| 1.0 | 77 | 8.6% |
| 1.2 | 2 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| No values found. | ||
Most occurring categories
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per category
Most occurring scripts
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per script
Most occurring blocks
| Value | Count | Frequency (%) |
| No values found. | ||
Most frequent character per block
| Distinct | 7 |
|---|---|
| Distinct (%) | 0.8% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.843995511 |
| Minimum | 1 |
|---|---|
| Maximum | 7 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 1 |
| median | 1 |
| Q3 | 3 |
| 95-th percentile | 4 |
| Maximum | 7 |
| Range | 6 |
| Interquartile range (IQR) | 2 |
Descriptive statistics
| Standard deviation | 1.233117624 |
|---|---|
| Coefficient of variation (CV) | 0.668720513 |
| Kurtosis | 3.853630611 |
| Mean | 1.843995511 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.790787467 |
| Sum | 1643 |
| Variance | 1.520579074 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 1 | 517 | |
| 3 | 182 | 20.4% |
| 2 | 125 | 14.0% |
| 4 | 40 | 4.5% |
| 7 | 14 | 1.6% |
| 6 | 7 | 0.8% |
| 5 | 6 | 0.7% |
| Value | Count | Frequency (%) |
| 1 | 517 | |
| 2 | 125 | 14.0% |
| 3 | 182 | 20.4% |
| 4 | 40 | 4.5% |
| 5 | 6 | 0.7% |
| 6 | 7 | 0.8% |
| 7 | 14 | 1.6% |
| Value | Count | Frequency (%) |
| 7 | 14 | 1.6% |
| 6 | 7 | 0.8% |
| 5 | 6 | 0.7% |
| 4 | 40 | 4.5% |
| 3 | 182 | 20.4% |
| 2 | 125 | 14.0% |
| 1 | 517 |
| Distinct | 30 |
|---|---|
| Distinct (%) | 3.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.693602694 |
| Minimum | 0 |
|---|---|
| Maximum | 29 |
| Zeros | 28 |
| Zeros (%) | 3.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1019.0 B |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 9 |
| median | 9 |
| Q3 | 9 |
| 95-th percentile | 24 |
| Maximum | 29 |
| Range | 29 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 4.864611205 |
|---|---|
| Coefficient of variation (CV) | 0.5018372796 |
| Kurtosis | 5.708221254 |
| Mean | 9.693602694 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 1.995259674 |
| Sum | 8637 |
| Variance | 23.66444217 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=30)
| Value | Count | Frequency (%) |
| 9 | 661 | |
| 10 | 60 | 6.7% |
| 3 | 41 | 4.6% |
| 0 | 28 | 3.1% |
| 26 | 18 | 2.0% |
| 24 | 15 | 1.7% |
| 28 | 10 | 1.1% |
| 18 | 7 | 0.8% |
| 20 | 6 | 0.7% |
| 2 | 5 | 0.6% |
| Other values (20) | 40 | 4.5% |
| Value | Count | Frequency (%) |
| 0 | 28 | 3.1% |
| 1 | 1 | 0.1% |
| 2 | 5 | 0.6% |
| 3 | 41 | 4.6% |
| 4 | 1 | 0.1% |
| 5 | 1 | 0.1% |
| 6 | 5 | 0.6% |
| 7 | 1 | 0.1% |
| 8 | 4 | 0.4% |
| 9 | 661 |
| Value | Count | Frequency (%) |
| 29 | 3 | 0.3% |
| 28 | 10 | |
| 27 | 2 | 0.2% |
| 26 | 18 | |
| 25 | 1 | 0.1% |
| 24 | 15 | |
| 23 | 2 | 0.2% |
| 22 | 3 | 0.3% |
| 21 | 1 | 0.1% |
| 20 | 6 | 0.7% |
| Distinct | 10 |
|---|---|
| Distinct (%) | 1.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.5679012346 |
| Minimum | 0 |
|---|---|
| Maximum | 16 |
| Zeros | 749 |
| Zeros (%) | 84.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 7.1 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 4 |
| Maximum | 16 |
| Range | 16 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 1.979286552 |
|---|---|
| Coefficient of variation (CV) | 3.485265449 |
| Kurtosis | 32.05865416 |
| Mean | 0.5679012346 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 5.236253299 |
| Sum | 506 |
| Variance | 3.917575253 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 0 | 749 | |
| 1 | 57 | 6.4% |
| 2 | 26 | 2.9% |
| 4 | 16 | 1.8% |
| 3 | 10 | 1.1% |
| 6 | 9 | 1.0% |
| 8 | 9 | 1.0% |
| 16 | 7 | 0.8% |
| 10 | 5 | 0.6% |
| 5 | 3 | 0.3% |
| Value | Count | Frequency (%) |
| 0 | 749 | |
| 1 | 57 | 6.4% |
| 2 | 26 | 2.9% |
| 3 | 10 | 1.1% |
| 4 | 16 | 1.8% |
| 5 | 3 | 0.3% |
| 6 | 9 | 1.0% |
| 8 | 9 | 1.0% |
| 10 | 5 | 0.6% |
| 16 | 7 | 0.8% |
| Value | Count | Frequency (%) |
| 16 | 7 | 0.8% |
| 10 | 5 | 0.6% |
| 8 | 9 | 1.0% |
| 6 | 9 | 1.0% |
| 5 | 3 | 0.3% |
| 4 | 16 | 1.8% |
| 3 | 10 | 1.1% |
| 2 | 26 | 2.9% |
| 1 | 57 | 6.4% |
| 0 | 749 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
First rows
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Embarked | Title_Name | Ticket-label | SibPar | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 1 | 0 | 3 | Braund, Mr. Owen Harris | 1 | 22.0 | 1 | 0 | 521171 | 7.2500 | 2.0 | 1 | 0 | 0 |
| 1 | 2 | 1 | 1 | Cumings, Mrs. John Bradley (Florence Briggs Thayer) | 0 | 38.0 | 1 | 0 | 17599 | 71.2833 | 0.0 | 2 | 10 | 0 |
| 2 | 3 | 1 | 3 | Heikkinen, Miss. Laina | 0 | 26.0 | 0 | 0 | 23101282 | 7.9250 | 2.0 | 3 | 26 | 0 |
| 3 | 4 | 1 | 1 | Futrelle, Mrs. Jacques Heath (Lily May Peel) | 0 | 35.0 | 1 | 0 | 113803 | 53.1000 | 2.0 | 2 | 9 | 0 |
| 4 | 5 | 0 | 3 | Allen, Mr. William Henry | 1 | 35.0 | 0 | 0 | 373450 | 8.0500 | 2.0 | 1 | 9 | 0 |
| 5 | 6 | 0 | 3 | Moran, Mr. James | 1 | 25.0 | 0 | 0 | 330877 | 8.4583 | 1.0 | 1 | 9 | 0 |
| 6 | 7 | 0 | 1 | McCarthy, Mr. Timothy J | 1 | 54.0 | 0 | 0 | 17463 | 51.8625 | 2.0 | 1 | 9 | 0 |
| 7 | 8 | 0 | 3 | Palsson, Master. Gosta Leonard | 1 | 2.0 | 3 | 1 | 349909 | 21.0750 | 2.0 | 4 | 9 | 3 |
| 8 | 9 | 1 | 3 | Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg) | 0 | 27.0 | 0 | 2 | 347742 | 11.1333 | 2.0 | 2 | 9 | 0 |
| 9 | 10 | 1 | 2 | Nasser, Mrs. Nicholas (Adele Achem) | 0 | 14.0 | 1 | 0 | 237736 | 30.0708 | 0.0 | 2 | 9 | 0 |
Last rows
| PassengerId | Survived | Pclass | Name | Sex | Age | SibSp | Parch | Ticket | Fare | Embarked | Title_Name | Ticket-label | SibPar | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 881 | 882 | 0 | 3 | Markun, Mr. Johann | 1 | 33.0 | 0 | 0 | 349257 | 7.8958 | 2.0 | 1 | 9 | 0 |
| 882 | 883 | 0 | 3 | Dahlberg, Miss. Gerda Ulrika | 0 | 22.0 | 0 | 0 | 7552 | 10.5167 | 2.0 | 3 | 9 | 0 |
| 883 | 884 | 0 | 2 | Banfield, Mr. Frederick James | 1 | 28.0 | 0 | 0 | 34068 | 10.5000 | 2.0 | 1 | 4 | 0 |
| 884 | 885 | 0 | 3 | Sutehall, Mr. Henry Jr | 1 | 25.0 | 0 | 0 | 392076 | 7.0500 | 2.0 | 1 | 24 | 0 |
| 885 | 886 | 0 | 3 | Rice, Mrs. William (Margaret Norton) | 0 | 39.0 | 0 | 5 | 382652 | 29.1250 | 1.0 | 2 | 9 | 0 |
| 886 | 887 | 0 | 2 | Montvila, Rev. Juozas | 1 | 27.0 | 0 | 0 | 211536 | 13.0000 | 2.0 | 5 | 9 | 0 |
| 887 | 888 | 1 | 1 | Graham, Miss. Margaret Edith | 0 | 19.0 | 0 | 0 | 112053 | 30.0000 | 2.0 | 3 | 9 | 0 |
| 888 | 889 | 0 | 3 | Johnston, Miss. Catherine Helen "Carrie" | 0 | 13.2 | 1 | 2 | 6607 | 23.4500 | 2.0 | 3 | 28 | 2 |
| 889 | 890 | 1 | 1 | Behr, Mr. Karl Howell | 1 | 26.0 | 0 | 0 | 111369 | 30.0000 | 0.0 | 1 | 9 | 0 |
| 890 | 891 | 0 | 3 | Dooley, Mr. Patrick | 1 | 32.0 | 0 | 0 | 370376 | 7.7500 | 1.0 | 1 | 9 | 0 |